6 citations as recorded by crossref.

1. HydroTreeNet: differentiable hydrological process trees for physically consistent rainfall–runoff modeling X. Zhou et al. https://doi.org/10.1016/j.jhydrol.2026.136509
2. A grid-informed physics-guided graph deep learning framework for interpretable distributed daily streamflow prediction Z. Guo et al. https://doi.org/10.1016/j.jhydrol.2026.136474
3. From forecast to alert: an open-data AI flood early warning system with reservoir monitoring for the White Volta Basin J. Obeng et al. https://doi.org/10.5194/nhess-26-5667-2026
4. Identification of spatiotemporal sensitivity of karst spring discharge to precipitation and evaporation: an LSTM–Transformer Decoder framework X. Yan et al. https://doi.org/10.1016/j.jhydrol.2026.136083
5. Streamflow Estimation at Ungauged Sections in a Nested Basin Using an HEG-LSTM Model Y. He et al. https://doi.org/10.3390/w18172145
6. Physics-guided liquid neural networks for rapid and physically consistent flood evolution prediction Q. Liu et al. https://doi.org/10.1016/j.wroa.2026.100557